Facilitating pharmacy customer orders through natural language processing

A computing system comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the computing system to:
• receive a message of a pharmacy customer;
• train a machine learning model using a set of messages each having a respective intent label specifying a pharmacy customer objective;
• generate, by analyzing the message using the trained machine learning model, a set of one or more intents of the pharmacy customer;
• generate a response message based on the set of intents;
• and
• transmit the response message to a mobile device associated with the pharmacy customer.

A computing system comprising:

• a mobile device configured to execute an application that causes an inbound message to be transmitted via a carrier network;
• a server device configured to execute an application that causes the inbound message to be received via the carrier network, wherein the server device is configured to:
• train a machine learning model using a set of messages each having a respective intent label specifying a pharmacy customer objective;
• analyze an inbound message using the trained machine learning model;
• identify a customer intent corresponding to the inbound message;
• based on the customer intent, perform an action with respect to a pharmacy order corresponding to the customer;
• and
• transmit an outbound text message addressed to mobile device via the carrier network.